Abstract
In millimeter-wave communication systems with large-scale antenna arrays, conventional digital beamforming may not be cost-effective. A promising solution is the implementation of hybrid beamforming techniques, which consist of low-dimensional digital beamforming followed by analog radio frequency (RF) beamforming. This work studies the optimization of hybrid beamforming in the context of a cloud radio access network (C-RAN) architecture. In a C-RAN system, digital baseband signal processing functionalities are migrated from remote radio heads (RRHs) to a baseband processing unit (BBU) in the 'cloud' by means of finite-capacity fronthaul links. Specifically, this work tackles the problem of jointly optimizing digital beamforming and fronthaul quantization strategies at the BBU, as well as RF beamforming at the RRHs, with the goal of maximizing the weighted downlink sum-rate. Fronthaul capacity and per-RRH power constraints are enforced along with constant modulus constraints on the RF beamforming matrices. An iterative algorithm is proposed that is based on successive convex approximation and on the relaxation of the constant modulus constraint. The effectiveness of the proposed scheme is validated by numerical simulation results.
| Original language | English |
|---|---|
| Title of host publication | 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-5 |
| Number of pages | 5 |
| Volume | 2017-July |
| ISBN (Electronic) | 9781509030088 |
| DOIs | |
| Publication status | Published - 2017 Dec 19 |
| Event | 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017 - Sapporo, Japan Duration: 2017 Jul 3 → 2017 Jul 6 |
Other
| Other | 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017 |
|---|---|
| Country | Japan |
| City | Sapporo |
| Period | 17/7/3 → 17/7/6 |
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Keywords
- Cloud-RAN
- Hybrid beamforming
- MmWave communication
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Information Systems
Cite this
Joint design of digital and analog processing for downlink C-RAN with large-scale antenna arrays. / Kim, Jaein; Park, Seok Hwan; Simeone, Osvaldo; Lee, Inkyu; Shamai, Shlomo.
18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017. Vol. 2017-July Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-5 8227789.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Joint design of digital and analog processing for downlink C-RAN with large-scale antenna arrays
AU - Kim, Jaein
AU - Park, Seok Hwan
AU - Simeone, Osvaldo
AU - Lee, Inkyu
AU - Shamai, Shlomo
PY - 2017/12/19
Y1 - 2017/12/19
N2 - In millimeter-wave communication systems with large-scale antenna arrays, conventional digital beamforming may not be cost-effective. A promising solution is the implementation of hybrid beamforming techniques, which consist of low-dimensional digital beamforming followed by analog radio frequency (RF) beamforming. This work studies the optimization of hybrid beamforming in the context of a cloud radio access network (C-RAN) architecture. In a C-RAN system, digital baseband signal processing functionalities are migrated from remote radio heads (RRHs) to a baseband processing unit (BBU) in the 'cloud' by means of finite-capacity fronthaul links. Specifically, this work tackles the problem of jointly optimizing digital beamforming and fronthaul quantization strategies at the BBU, as well as RF beamforming at the RRHs, with the goal of maximizing the weighted downlink sum-rate. Fronthaul capacity and per-RRH power constraints are enforced along with constant modulus constraints on the RF beamforming matrices. An iterative algorithm is proposed that is based on successive convex approximation and on the relaxation of the constant modulus constraint. The effectiveness of the proposed scheme is validated by numerical simulation results.
AB - In millimeter-wave communication systems with large-scale antenna arrays, conventional digital beamforming may not be cost-effective. A promising solution is the implementation of hybrid beamforming techniques, which consist of low-dimensional digital beamforming followed by analog radio frequency (RF) beamforming. This work studies the optimization of hybrid beamforming in the context of a cloud radio access network (C-RAN) architecture. In a C-RAN system, digital baseband signal processing functionalities are migrated from remote radio heads (RRHs) to a baseband processing unit (BBU) in the 'cloud' by means of finite-capacity fronthaul links. Specifically, this work tackles the problem of jointly optimizing digital beamforming and fronthaul quantization strategies at the BBU, as well as RF beamforming at the RRHs, with the goal of maximizing the weighted downlink sum-rate. Fronthaul capacity and per-RRH power constraints are enforced along with constant modulus constraints on the RF beamforming matrices. An iterative algorithm is proposed that is based on successive convex approximation and on the relaxation of the constant modulus constraint. The effectiveness of the proposed scheme is validated by numerical simulation results.
KW - Cloud-RAN
KW - Hybrid beamforming
KW - MmWave communication
UR - http://www.scopus.com/inward/record.url?scp=85044238057&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044238057&partnerID=8YFLogxK
U2 - 10.1109/SPAWC.2017.8227789
DO - 10.1109/SPAWC.2017.8227789
M3 - Conference contribution
AN - SCOPUS:85044238057
VL - 2017-July
SP - 1
EP - 5
BT - 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -